Text mining is an umbrella term covering a wide range of software tools, including natural language analysis, use of statistical techniques, and machine learning, designed to extract entities (names of people and places), index terms, and relationships. This article outlines these tools, and describes how text mining is being applied in enterprises to solve user problems. A standard measure of accuracy enables text-mining tools to be compared. Text mining is often applied to unstructured content, but the most impressive results come from applying text-mining tools on structured text within a specific subject domain, using an iterative process to train the software.
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